AIOps On The Road To The Autonomous Enterprise Posted on : Jul 02 - 2022

The concept of IT as a cost center ripe for cost-cutting suddenly, and well-deservedly, disappeared when the global economy slammed into 2020.

Winners and losers quickly divided along the lines of their stance toward IT. Organizations that entered the fray under the banner "IT as a cost" found themselves on the losing end of a bet-your-business game. On the winning side were enterprises that viewed—and strategically invested in—IT as a source of business innovation.

Innovation Under Fire

The issue is that human efforts can't keep up. The more up-to-date and custom-tailored your IT stack becomes, the more complex it is to manage. Today, the sheer volume of technologies, transactions, interdependencies, variables, change and possible points of failure requires automation and artificial intelligence (AI) to drive it. Innovation is hampered as a result.

Because of this transformation, the concept "AIOps"—AI for IT operations—arose. By leveraging the power of AI and machine learning, organizations can accurately comprehend and control the complexity of a sprawling IT landscape. The goal is to move from the classic observe-engage-act model to a more active policy of predict-prescribe-prevent.

This relies on a human to act on the AI's recommendations. The logical next step is to let AI take recommended actions automatically to close the loop. Beyond that is the vision of an "autonomous enterprise," in which AI and automation combine to enable a business's key technologies to solve their own problems without prompting. This may seem like the proverbial "art-of-the-possible," but it’s very doable—with the right technologies. View More